How can I analyze Python code to identify problematic areas?

Question

I have a large source repository split across multiple projects. I would like to produce a report about the health of the source code, identifying problem areas that need to

Answer 1

For cyclomatic complexity you can use radon: https://github.com/rubik/radon

(Use pip to install it: pip install radon)

Additionally it also has these features:

• raw metrics (these include SLOC, comment lines, blank lines, &c.)
• Halstead metrics (all of them)
• Maintainability Index (the one used in Visual Studio)